Dein persönlicher KI-Karriere-Agent
Director of Data Science, Deep Learning(m/w/x)
Architecting transformer-based deep learning models for a global delivery platform. 8+ years leadership experience scaling AI teams required. 27 days holiday, €1000 educational budget.
Anforderungen
- At least eight years of professional leadership experience
- Experience scaling high-performing data science teams
- Experience scaling high-performing deep learning teams
- Proven track record applying advanced AI modelling
- Experience in AdTech, digital marketplaces, or computational economics
- Master's degree or higher in a quantitative field
- Strong technical foundation as previous individual contributor
- Expertise in Python
- Expertise in SQL
- Hands-on mastery of deep learning frameworks
- Hands-on mastery of Keras, TensorFlow or PyTorch
- Mastery of Pandas, PySpark, and NumPy
- Expertise in managing cloud-scale deep learning solutions
- Expertise in modelling cloud-scale deep learning solutions
- Expertise in deploying cloud-scale deep learning solutions
- Experience with high-volume, real-time data in cloud environments
- Exceptional ability to communicate complex deep learning concepts
- Ability to communicate business implications clearly
- Ability to communicate to technical teams
- Ability to communicate to senior leadership
Aufgaben
- Architect state-of-the-art deep learning models
- Influence AI strategy
- Develop cutting-edge methodologies
- Design and implement advanced deep learning architectures
- Implement transformers and sequence-based attention-driven AI models
- Implement generative ranking approaches
- Implement long-term interest networks for user personalization
- Establish comprehensive evaluation frameworks for deep learning models
- Measure internal model-centric metrics (e.g., NCE, ROCAUC, PRAUC)
- Measure business metrics during live A/B testing
- Collaborate and align with engineering teams
- Collaborate and align with commercial teams
- Collaborate and align with product teams
- Develop scalable data pipelines
- Develop scalable feature pipelines
- Maintain scalable data pipelines
- Maintain scalable feature pipelines
- Ensure efficient training of deep learning models
- Ensure efficient deployment of deep learning models
- Ensure efficient monitoring of deep learning models
- Ensure ongoing performance of deep learning models
- Stay knowledgeable on deep learning trends
- Stay knowledgeable on machine learning engineering trends
- Drive team adoption of cutting-edge methodologies
- Collaborate on defining the technical roadmap
- Leverage advanced data processing tools (e.g., MonteCarlo, dbt)
Berufserfahrung
- 8 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Keras
- TensorFlow
- PyTorch
- Pandas
- PySpark
- NumPy
Benefits
Flexibles Arbeiten
- Hybrid working model
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd and 3rd year of service
Sonstige Zulagen
- 1000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Weiterbildungsangebote
- Language Courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental Support
Gesundheits- & Fitnessangebote
- Health Checkups
- Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public Transportation Ticket Discount
Sonstige Vorteile
- Life & Accident Insurance
Betriebliche Altersvorsorge
- Corporate Pension Plan
Mitarbeiterrabatte
- Corporate Discounts
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Director of Data Science, Deep Learning(m/w/x)
Architecting transformer-based deep learning models for a global delivery platform. 8+ years leadership experience scaling AI teams required. 27 days holiday, €1000 educational budget.
Anforderungen
- At least eight years of professional leadership experience
- Experience scaling high-performing data science teams
- Experience scaling high-performing deep learning teams
- Proven track record applying advanced AI modelling
- Experience in AdTech, digital marketplaces, or computational economics
- Master's degree or higher in a quantitative field
- Strong technical foundation as previous individual contributor
- Expertise in Python
- Expertise in SQL
- Hands-on mastery of deep learning frameworks
- Hands-on mastery of Keras, TensorFlow or PyTorch
- Mastery of Pandas, PySpark, and NumPy
- Expertise in managing cloud-scale deep learning solutions
- Expertise in modelling cloud-scale deep learning solutions
- Expertise in deploying cloud-scale deep learning solutions
- Experience with high-volume, real-time data in cloud environments
- Exceptional ability to communicate complex deep learning concepts
- Ability to communicate business implications clearly
- Ability to communicate to technical teams
- Ability to communicate to senior leadership
Aufgaben
- Architect state-of-the-art deep learning models
- Influence AI strategy
- Develop cutting-edge methodologies
- Design and implement advanced deep learning architectures
- Implement transformers and sequence-based attention-driven AI models
- Implement generative ranking approaches
- Implement long-term interest networks for user personalization
- Establish comprehensive evaluation frameworks for deep learning models
- Measure internal model-centric metrics (e.g., NCE, ROCAUC, PRAUC)
- Measure business metrics during live A/B testing
- Collaborate and align with engineering teams
- Collaborate and align with commercial teams
- Collaborate and align with product teams
- Develop scalable data pipelines
- Develop scalable feature pipelines
- Maintain scalable data pipelines
- Maintain scalable feature pipelines
- Ensure efficient training of deep learning models
- Ensure efficient deployment of deep learning models
- Ensure efficient monitoring of deep learning models
- Ensure ongoing performance of deep learning models
- Stay knowledgeable on deep learning trends
- Stay knowledgeable on machine learning engineering trends
- Drive team adoption of cutting-edge methodologies
- Collaborate on defining the technical roadmap
- Leverage advanced data processing tools (e.g., MonteCarlo, dbt)
Berufserfahrung
- 8 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Keras
- TensorFlow
- PyTorch
- Pandas
- PySpark
- NumPy
Benefits
Flexibles Arbeiten
- Hybrid working model
Mehr Urlaubstage
- 27 days holiday
- Extra holiday day on 2nd and 3rd year of service
Sonstige Zulagen
- 1000 € Educational Budget
- Digital Meal Vouchers
- Food Vouchers
Weiterbildungsangebote
- Language Courses
- Udemy Business platform access
Familienfreundlichkeit
- Parental Support
Gesundheits- & Fitnessangebote
- Health Checkups
- Gym & Bicycle Subsidy
Mentale Gesundheitsförderung
- Meditation
Attraktive Vergütung
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical Bank
Öffi Tickets
- Public Transportation Ticket Discount
Sonstige Vorteile
- Life & Accident Insurance
Betriebliche Altersvorsorge
- Corporate Pension Plan
Mitarbeiterrabatte
- Corporate Discounts
Über das Unternehmen
Delivery Hero
Branche
Food
Beschreibung
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Noch nicht perfekt?
- Delivery Hero
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Principal Data Scientist - Vendor Recommendations & AI(m/w/x)
Vollzeitmit HomeofficeKeine AngabeBerlin - Delivery Hero
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Vollzeitmit HomeofficeSeniorBerlin